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- W2111507360 abstract "The calibration of wastewater treatment models suffers from various ill‐definition problems, one of them being the difficulty in the identifiability associated with Monod‐type equations. The present paper presents a methodology for the calibration of such systems that, although not solving the identifiability problem, aims at locating it and finding a trajectory for circumventing its limitations. The procedure is a combination of the classical error‐function minimization with Monte Carlo simulations. The Monte Carlo technique assists in the selection of the optimal ranges of the parameters, and the optimization method focuses on the derivation of the optimal values of the parameters. The structure of the algorithm is such that it can also be applied in an autocalibration mode. The procedure was tested with data deterministically generated by the same model, and was able to converge to the “true” parameter values, which had been established a priori. The methodology was also utilized for the calibration of a larger model (11 parameters) with field data and the results obtained were superior to those from an error‐minimization algorithm conventionally applied." @default.
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- W2111507360 date "1994-05-01" @default.
- W2111507360 modified "2023-09-26" @default.
- W2111507360 title "Calibration of Poorly Identifiable Systems: Application to Activated Sludge Model" @default.
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- W2111507360 doi "https://doi.org/10.1061/(asce)0733-9372(1994)120:3(625)" @default.
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